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Online dating: Art & Companies

Online dating, also known as internet dating, virtual dating, or mobile app dating, is a method used by people with a goal of searching for and interacting with potential romantic or sexual partners, via the internet. An online dating service is a company that promotes and provides specific mechanisms for the practice of online dating, generally in the…

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Online dating topic overview

The analysis highlights Art and Companies as prominent areas in the source structure around Online dating.

Related topics
176
Source areas
5
Connected nodes
181
Extracted relationships
168
Concept neighborhoods
35
Bridge connections
181

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Trends · 98 topics
Reception · 37 topics
Government regulation · 16 topics
Overview · 13 topics
Lawsuits filed against online dating services · 12 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Trends

Reception

Lawsuits filed against online dating services

Government regulation

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Online dating connects Entity context

The extracted context around Online dating shows recurring relationship patterns in the source. For example, Online dating → Adam, American Life Project, Amory Sivertson, An, Aspirational, August, Bibcode, BMJ Evidence-Based Medicine, Bruch, CBS NewsHerd, Chaudhry, Cohen-Aslatei, Cole, Dating Apps, Elizabeth, Interview, Interviewed, Khalid, March, Newman Another extracted example is Online dating → Advertising Division, Advertising Standards Authority, African Americans, Amazon, Benjamin Karney, Better Business Bureau's National, E-commerce, Harry Reis, Hispanic Americans, However, In, Iowa, Kang Zhao, Netflix, Nevertheless, Psychological Science, Public Interest, This, United Kingdom, University. Use these groups to spot repeated connection types before inspecting the individual relationships.

Online dating

Top relations

related to Further reading · 37
Online dating → Adam, American Life Project, Amory Sivertson, An, Aspirational, August, Bibcode, BMJ Evidence-Based Medicine, Bruch, CBS NewsHerd, Chaudhry, Cohen-Aslatei, Cole, Dating Apps, Elizabeth, Interview, Interviewed, Khalid, March, Newman
related to Matching and divorce rates · 21
Online dating → Advertising Division, Advertising Standards Authority, African Americans, Amazon, Benjamin Karney, Better Business Bureau's National, E-commerce, Harry Reis, Hispanic Americans, However, In, Iowa, Kang Zhao, Netflix, Nevertheless, Psychological Science, Public Interest, This, United Kingdom, University
related to Gender · 14
Online dating → According, American, Developmental, Kaiser, Licensed, MarketWatch, Michelle Drouin, OKCupid, On, She, Stacy Kaiser, The New York Times, These, Zoosk
related to Billing complaints · 12
Online dating → Consolidation, Encounters, Furthermore, In, Kindred Spirits, London Dating, Online, Some, The Daily Telegraph, The Times, Time Out, UK
related to Online matchmaking services · 11
Online dating → Beijing, China, Civil Affairs, Demand, Guangzhou, In, In China, Introduction, Ministry, Shanghai, Shenzhen
related to Reception · 11
Online dating → Although, American, American Life Project, At, Attitudes, In, Internet, Opinions, Pew Internet, Pew Research Center, This
related to Economic trends · 8
Online dating → Although, Google AdSense, However, In, Most, Sam Yagan, Since, United States
related to Race and online dating · 7
Online dating → African Americans, Black Americans, Follow-up, In, Just, Personals, Yahoo
related to Trust and safety issues · 6
Online dating → Also, As, Consent Guard, For, Hily's, In
see also · 5
Online dating → Comparison, Haystack Dating MethodSexual, Internet, Select, SESTAList

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

dating online services users women men found sites study people profiles also match messages members number potential less profile research

Online dating relationships Subject–Predicate–Object triples

TTTA extracted 168 structured relationships around Online dating. Examples in this analysis include webcasts → instance of → while others provide additional services and Google AdSense → instance of → using tools. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
webcastsinstance ofwhile others provide additional services0.80text
online chatinstance ofwhile others provide additional services0.80text
telephone chatinstance ofwhile others provide additional services0.80text
Google AdSenseinstance ofusing tools0.80text
affiliate marketinginstance ofusing tools0.80text
Rizzinstance ofincrease for each company respectively during the first quarter of 2023.Apps0.80text
Winggginstance ofincrease for each company respectively during the first quarter of 2023.Apps0.80text
marketed asinstance ofincrease for each company respectively during the first quarter of 2023.Apps0.80text
African Americansinstance ofthey have also been demonstrated to be highly skewed to the preferences of early users and against racial minorities0.80text
Hispanic Americans which led to the rise of niche dating sites for those groupsinstance ofthey have also been demonstrated to be highly skewed to the preferences of early users and against racial minorities0.80text
Beijinginstance ofespecially in the large cities0.80text
Shanghaiinstance ofespecially in the large cities0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Online dating bring nearby vocabulary together. In this analysis, examples include Online, Services and Research. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Online dating
    • Online
    • Services
    • Research
    • Study
    • Used
    • Found
    • Published
    • Users
    • Also
    • People
    • Members
    • Potential
  • online dating
    • Online
    • Services
    • Research
    • Sites
    • Users
    • Study
    • Used
    • Found
    • Published
    • Apps
    • People
    • Also
  • online chat
    • Services
    • Research
    • Study
    • Used
    • Found
    • Published
    • Users
    • People
    • Members
    • Potential
    • Partners
    • Service
  • information systems research
    • Profile
    • Apps
    • Users
    • Used
    • Members
    • Potential
    • Published
    • Service
    • Profiles
    • Study
    • Services
    • Online
  • dating violence
    • Online
    • Services
    • Research
    • Sites
    • Users
    • Study
    • Apps
    • People
    • Also
    • Service
    • Used
    • Profile
  • are we dating the same guy?
    • Online
    • Services
    • Research
    • Sites
    • Users
    • Study
    • Apps
    • People
    • Also
    • Service
    • Used
    • Profile
  • online safety act 2023
    • Services
    • Research
    • Study
    • Used
    • Found
    • Published
    • Users
    • People
    • Members
    • Potential
    • Partners
    • Service
  • online safety act 2021
    • Services
    • Research
    • Study
    • Used
    • Found
    • Published
    • Users
    • People
    • Members
    • Potential
    • Partners
    • Service

Connections between topic areas Semantic bridges

For Online dating, one of the stronger structural bridges in this analysis connects Online dating with Trends. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Online dating — Trends · splits 83 ⟂ 99
Online dating — Reception · splits 144 ⟂ 38
Online dating — Government regulation · splits 165 ⟂ 17
Online dating — Overview · splits 168 ⟂ 14
Online dating — Lawsuits filed against online dating services · splits 169 ⟂ 13

Map overview Semantic statistics

Online dating

Nodes182
Edges181
Triples168
Avg. degree1.99
Density0.010989
Components1

Source & methodology

TTTA analyzes the structure around Online dating to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Online dating · EN edition · Analysis: TopicsToTalkAbout

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